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Título:
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New families of estimators and test statistics in log-linear models
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Autores:
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Martín Apaolaza, Níriam ;
Pardo Llorente, Leandro
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Tipo de documento:
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texto impreso
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Editorial:
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Academic Press, 2008-09
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Estadística matemática
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Tipo = Artículo
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Resumen:
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In this paper we consider categorical data that are distributed according to a multinomial, product-multinomial or Poisson distribution whose expected values follow a log-linear model and we study the inference problem of hypothesis testing in a log-linear model setting. The family of test statistics considered is based on the family of phi-divergence measures. The unknown parameters in the log-linear model under consideration are also estimated using phi-divergence measures: Minimum phi-divergence estimators. A simulation study is included to find test statistics that offer an attractive alternative to the Pearson chi-square and likelihood-ratio test statistics.
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En línea:
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https://eprints.ucm.es/id/eprint/17534/1/PardoLeandro13.pdf
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